Convolutional Neural Networks in TensorFlow
Completed by Pierre Jean BARJHOUX
November 1, 2024
16 hours (approximately)
Pierre Jean BARJHOUX's account is verified. Coursera certifies their successful completion of Convolutional Neural Networks in TensorFlow
What you will learn
Handle real-world image data
Plot loss and accuracy
Explore strategies to prevent overfitting, including augmentation and dropout
Learn transfer learning and how learned features can be extracted from models
Skills you will gain
- Category: Tensorflow
- Category: Fine-tuning
- Category: Data Preprocessing
- Category: Keras (Neural Network Library)
- Category: Image Analysis
- Category: Convolutional Neural Networks
- Category: Model Evaluation
- Category: Model Optimization
- Category: Artificial Neural Networks
- Category: Machine Learning
- Category: Computer Vision
- Category: Transfer Learning
